library(tidyverse)
library(rgbif)
library(dplyr)
library(bdc)
library(CoordinateCleaner)
library(ggmap)
library(maps)
library(mapdata)
library(plotly)
ana_gbif <- occ_data(scientificName = "Anacardium occidentale",
hasCoordinate = TRUE,
hasGeospatialIssue=FALSE)
gbif_issues na avaliação
dos problemas relatados para o conjunto de dados.# checar problemas reportados
issues_gbif <- ana_gbif$data$issues %>%
unique() %>%
strsplit(., "[,]") %>%
unlist()
gbif_issues() %>%
data.frame() %>%
filter(code %in% issues_gbif)
## code issue
## 1 cdc CONTINENT_DERIVED_FROM_COORDINATES
## 2 cdround COORDINATE_ROUNDED
## 3 cudc COUNTRY_DERIVED_FROM_COORDINATES
## 4 gass84 GEODETIC_DATUM_ASSUMED_WGS84
## 5 colmafu COLLECTION_MATCH_FUZZY
## 6 inmafu INSTITUTION_MATCH_FUZZY
## 7 inmano INSTITUTION_MATCH_NONE
## description
## 1 The interpreted continent is based on the coordinates, not the verbatim string information.
## 2 Original coordinate modified by rounding to 5 decimals.
## 3 The interpreted country is based on the coordinates, not the verbatim string information.
## 4 Indicating that the interpreted coordinates assume they are based on WGS84 datum as the datum was either not indicated or interpretable.
## 5 The given collection was fuzzily matched to a GrSciColl collection.
## 6 The given institution was fuzzily matched to a GrSciColl institution.
## 7 The given institution couldn't be matched with any GrSciColl institution.
## type
## 1 occurrence
## 2 occurrence
## 3 occurrence
## 4 occurrence
## 5 occurrence
## 6 occurrence
## 7 occurrence
# verificando as dimensões do arquivo
dim(ana_gbif)
## NULL
# Detalhando os campos do arquivo
dim(ana_gbif$data)
## [1] 500 118
ana_gbif$data %>% names
## [1] "key" "scientificName"
## [3] "decimalLatitude" "decimalLongitude"
## [5] "issues" "datasetKey"
## [7] "publishingOrgKey" "installationKey"
## [9] "publishingCountry" "protocol"
## [11] "lastCrawled" "lastParsed"
## [13] "crawlId" "hostingOrganizationKey"
## [15] "basisOfRecord" "occurrenceStatus"
## [17] "taxonKey" "kingdomKey"
## [19] "phylumKey" "classKey"
## [21] "orderKey" "familyKey"
## [23] "genusKey" "speciesKey"
## [25] "acceptedTaxonKey" "acceptedScientificName"
## [27] "kingdom" "phylum"
## [29] "order" "family"
## [31] "genus" "species"
## [33] "genericName" "specificEpithet"
## [35] "taxonRank" "taxonomicStatus"
## [37] "iucnRedListCategory" "dateIdentified"
## [39] "continent" "stateProvince"
## [41] "year" "month"
## [43] "day" "eventDate"
## [45] "modified" "lastInterpreted"
## [47] "references" "license"
## [49] "isInCluster" "datasetName"
## [51] "recordedBy" "identifiedBy"
## [53] "geodeticDatum" "class"
## [55] "countryCode" "country"
## [57] "rightsHolder" "identifier"
## [59] "http://unknown.org/nick" "verbatimEventDate"
## [61] "collectionCode" "gbifID"
## [63] "verbatimLocality" "occurrenceID"
## [65] "taxonID" "catalogNumber"
## [67] "institutionCode" "eventTime"
## [69] "http://unknown.org/captive" "identificationID"
## [71] "coordinateUncertaintyInMeters" "occurrenceRemarks"
## [73] "recordNumber" "municipality"
## [75] "locality" "language"
## [77] "type" "ownerInstitutionCode"
## [79] "sampleSizeUnit" "sampleSizeValue"
## [81] "samplingProtocol" "eventID"
## [83] "habitat" "institutionID"
## [85] "verbatimSRS" "county"
## [87] "verbatimIdentification" "vernacularName"
## [89] "organismID" "fieldNotes"
## [91] "projectId" "individualCount"
## [93] "elevation" "elevationAccuracy"
## [95] "reproductiveCondition" "distanceFromCentroidInMeters"
## [97] "informationWithheld" "organismName"
## [99] "higherClassification" "organismQuantity"
## [101] "organismQuantityType" "preparations"
## [103] "georeferenceProtocol" "dynamicProperties"
## [105] "verbatimCoordinateSystem" "name"
## [107] "institutionKey" "collectionKey"
## [109] "programmeAcronym" "fieldNumber"
## [111] "eventRemarks" "locationRemarks"
## [113] "locationID" "islandGroup"
## [115] "island" "identificationQualifier"
## [117] "acceptedNameUsageID" "verbatimElevation"
ana_gbif1 <- ana_gbif$data %>%
dplyr::select(scientificName, acceptedScientificName, decimalLatitude, decimalLongitude,
issues, basisOfRecord, occurrenceStatus, rightsHolder,
datasetName, recordedBy, locality,habitat,stateProvince)
distinc filtrando somente as variáveis que são únicas.ana_gbif1 <- ana_gbif1 %>%
distinct()
unique a cada coluna com um loop na função
lapply.lapply(ana_gbif1, unique)
## $scientificName
## [1] "Anacardium occidentale L."
##
## $acceptedScientificName
## [1] "Anacardium occidentale L."
##
## $decimalLatitude
## [1] 17.556047 11.323038 13.828233 13.817147 18.464255 1.439759
## [7] 17.152981 1.439727 15.300090 19.341050 17.772943 11.262541
## [13] 11.281107 13.122776 15.407795 18.116757 11.323047 -4.755673
## [19] 18.430249 18.289342 18.290397 -21.349781 4.347804 16.270681
## [25] -11.463333 13.282053 13.280870 13.282396 13.375288 13.298588
## [31] -23.519000 -22.643894 -23.572243 10.084035 -9.687809 -24.314611
## [37] -24.314529 -2.249503 11.172810 15.668647 -4.424948 -8.827273
## [43] -23.186445 -12.881309 13.030940 -19.625303 -12.687058 -16.618730
## [49] -10.941110 -9.959818 14.041401 6.532534 -6.877936 -7.369059
## [55] 12.680157 14.566240 -6.849975 -22.797523 -20.774886 -22.489743
## [61] -13.080529 -3.229176 -15.773898 -13.091667 13.300021 -23.463767
## [67] -23.826440 10.599720 -0.593407 -21.225979 13.924878 16.243317
## [73] -21.169189 16.271423 19.290001 -7.957312 15.995844 -22.861798
## [79] -22.861770 16.222384 18.288523 11.323274 7.306850 15.840667
## [85] 13.889780 13.894391 13.905498 13.890161 13.898290 13.893520
## [91] 13.889059 -5.211799 10.302143 12.698238 16.492163 17.719658
## [97] 16.306228 -19.462305 16.794469 16.179511 15.564441 14.775172
## [103] -17.711585 14.466861 14.728458 15.455756 -22.990388 -23.516326
## [109] -22.910572 8.763540 -22.797068 17.899336 -21.817052 -21.244022
## [115] -22.145955 -23.447355 23.113486 20.648719 -8.171833 17.719218
## [121] 21.902940 17.291354 16.238312 -22.956279 16.306242 16.306197
## [127] 16.306254 16.306226 -7.320706 -19.738584 -21.787197 15.358543
## [133] 13.114117 -18.961408 12.817623 -20.772595 -7.199772 14.466827
## [139] 13.877822 15.435948 -22.445285 -22.832242 13.270628 17.999443
## [145] -8.960712 13.205305 19.189309 9.304498 18.330558 16.210599
## [151] 16.210464 -19.888725 -7.934693 -21.216157 -23.096101 -15.747333
## [157] -19.504428 10.221090 3.350751 8.846572 7.453526 15.899552
## [163] 13.046340 8.434574 14.630231 11.511732 19.248142 9.787463
## [169] -10.224691 -10.224484 12.944252 -22.915694 -5.888305 -11.100292
## [175] -13.293427 -21.727040 -15.895404 9.803793 12.817676 -21.968595
## [181] -22.955719 -7.234563 16.073698 17.421087 -23.304446 12.197381
## [187] 5.745918 -22.861813 18.371210 -18.527657 -27.973017 -12.527818
## [193] 19.579167 -5.669302 14.992077 -20.544430 11.549421 -8.254354
## [199] 15.000573 14.140597 -7.958900 14.563687 -23.214277 13.180770
## [205] 13.812459 -5.131799 -6.205468 16.383034 16.337783 -1.901082
## [211] -7.820762 11.017115 16.249490 12.006237 -9.853997 -9.854159
## [217] -9.954691 -22.578881 12.916994 -16.376244 11.450730 18.462105
## [223] 18.462647 18.462245 -22.917362 18.135014 17.555065 16.223153
## [229] 18.354420 18.317972 9.338282 11.323561 -10.010350 18.114583
## [235] 9.760682 16.116076 1.438192 22.420944 12.408784 22.543800
## [241] 27.100500 10.982472 11.040000 9.466711 16.122470 13.180003
## [247] -23.160178 -19.783611 13.827566 8.353647 14.484031 14.765275
## [253] -16.497122 7.100972 -15.865108 -22.925340 7.891621 17.039314
## [259] 11.997398 15.140684 16.249442 4.987372 -22.999238 16.356542
## [265] -18.191281 -15.964002 -23.160175 16.305666 -22.145924 -14.700094
## [271] -16.655402 16.216722 16.305456 -23.630824 -22.491418 -24.062795
## [277] -23.233513 -22.982857 0.557582 13.547402 -8.346514 16.249422
## [283] -23.388117 20.647930 -16.385550 -22.939607 13.547433 13.547338
## [289] 13.547366 -17.786198 -16.185030 14.569794 9.451838 6.326230
## [295] 6.853512 17.126043 4.924965 2.845302 -19.253526 -24.314370
## [301] 16.326220 -20.430543 16.326366 22.625093 -12.955888 -16.555440
## [307] 17.755570 10.236507 16.831242 -16.622426 -3.932077 -5.094684
## [313] 19.063419 -15.742940 5.399245 -2.980833 16.248115 20.340189
## [319] 20.340470 -21.154266 14.466093 -3.724111 -21.778353 14.978365
## [325] -23.458074 -23.261723 -12.326094 13.680488 13.746393 16.429684
## [331] -15.744258 -23.380154 -15.812542 11.589890 -12.983402 16.250984
## [337] 3.815307 -24.357502 -22.613056 -19.203603 -22.544227 -22.591043
## [343] -12.763879 -12.763929 6.235810 6.017768 -22.224488 -15.760284
## [349] -27.974470 -7.163178 -15.665043 -21.345314 -15.722170 0.300133
## [355] 8.444077 9.111595 13.980945 -10.401111 20.660586 23.127056
## [361] -22.981528 -23.181402 -22.020017 -16.915138 -15.734377 14.488845
## [367] -23.964226 17.755207 -3.474569 14.789233 -22.883432 -9.945538
## [373] 14.639973 11.028109 -9.115535 17.720080 -12.529078 -22.939329
## [379] 11.975183 -23.359757 -7.917223 -4.179877 -15.825898 -9.451414
## [385] -15.825023 -23.412547 18.155472 12.070557 -22.911758 14.487984
## [391] -16.758464 13.038098 -16.469286 9.377770 7.891719 -15.977058
## [397] 15.868005 -22.579302 -21.110943 -17.818915 -15.576383 9.996812
## [403] -23.822304 -8.240434 -14.019717 -14.019722 -23.253262 9.557960
## [409] 19.298494 -11.590278 -17.620673 -21.021194 3.563653 12.417650
## [415] -20.519318 6.552787 -7.549916 14.436831 6.562373 16.275336
## [421] 18.315441 -19.010371 4.926380 -9.181546 -2.502116 -4.147070
## [427] -23.787523 -17.398786 -17.391843 -4.764928 -14.063878 2.931063
## [433] -8.738285 -2.064408 -22.322324 -22.434435 16.305068 -19.030362
## [439] 18.706519 -18.938500 -3.780317 16.241011 -19.915726 -13.319338
## [445] 11.319806 -3.198276 -16.589136 -3.396639 -4.661970 -4.661290
## [451] 11.011440 -15.870508 19.018288 8.353582 -12.313623 -15.581048
## [457] 15.909323 -22.527565 -15.782672 9.337395 16.268200 13.384008
## [463] 18.716197 18.711594 -19.551215 13.384357 13.378222 11.828377
## [469] -10.924026 -16.181751 -15.546916 13.495199 -8.049968 11.797418
## [475] -20.084068 -22.760882 -22.839132 -3.912646 -16.261256 9.467312
## [481] -3.665876 -12.904449
##
## $decimalLongitude
## [1] -88.534449 79.243353 -89.356133 -61.056686 -66.284547 103.807032
## [7] -88.665884 103.806934 73.929488 -70.997197 -88.540533 -85.858606
## [13] -85.871816 74.993319 -88.017649 -65.481687 55.475589 72.955435
## [19] 73.129439 73.126474 -48.006389 -72.851548 -61.304139 -37.363611
## [25] -16.594601 -16.552066 -16.553031 -15.817588 -16.569770 -47.615535
## [31] -50.481235 -48.394226 76.273074 -36.507973 -47.254170 -47.254187
## [37] -79.650087 -4.295870 -88.973113 39.397233 -35.337806 -46.870298
## [43] -38.284341 74.964532 -44.041316 -38.578440 -39.094647 -37.096745
## [49] -67.855722 -89.310035 -75.774367 -39.190601 -35.907228 80.130296
## [55] 75.006897 37.657356 -43.197418 -51.692093 -43.534882 -39.943584
## [61] -52.233350 -52.565498 -39.946667 -88.905814 -47.252947 35.533421
## [67] 14.346643 -80.391683 -50.473685 -90.603368 -61.384121 -47.811795
## [73] -61.805717 72.805840 -35.146867 -61.722739 -42.340296 -42.340398
## [79] -61.627368 73.129353 79.239393 99.399796 -97.043664 -90.477880
## [85] -90.481311 -90.523835 -90.482740 -90.478768 -90.481479 -90.471112
## [91] -36.456620 76.427384 74.900339 73.650497 77.698777 -61.302641
## [97] -44.204762 -62.188239 -61.656945 73.836104 -17.346236 -48.152940
## [103] -60.923666 -61.015333 73.807640 -43.484909 -46.641382 -43.296289
## [109] -75.887597 -41.930375 -62.835773 -47.248966 -47.830828 -51.373183
## [115] -46.456365 89.940907 -105.228871 -35.764394 77.696823 77.872240
## [121] 81.885854 -61.402688 -43.351081 -61.302685 -61.302602 -61.302727
## [127] -61.302635 -35.327168 -47.933296 -48.177145 74.541915 77.716687
## [133] -49.476270 74.842879 -41.164418 -34.848622 -60.923754 -16.375768
## [139] 74.983192 -43.176703 -43.420082 -59.614176 -66.106089 -38.246932
## [145] -16.471983 -70.205089 2.626673 -65.839365 -61.501608 -61.501663
## [151] -40.586611 -35.027802 -50.873830 -46.434167 -47.663639 -43.913034
## [157] 1.387545 -59.810687 -76.423225 -80.082115 -96.938638 80.253356
## [163] -80.123725 74.052564 92.686567 -103.714146 78.638618 -48.306635
## [169] -48.306651 -16.739116 -42.844876 -35.175337 39.676910 -40.966623
## [175] -48.189551 -47.969985 98.449664 74.842939 -48.860010 -43.349291
## [181] -48.252081 -61.579308 78.242440 -45.816931 76.746336 -53.947070
## [187] -42.340342 -65.897382 -46.051811 32.321203 -55.699167 81.667778
## [193] -37.829951 -16.747283 -40.394368 79.730698 -34.988872 -16.779615
## [199] -89.753028 -34.996900 -60.927541 -47.449837 77.599492 -87.969893
## [205] 119.485061 -35.360228 -61.484310 -61.372003 37.757418 -38.149275
## [211] -74.932465 -61.525188 79.806984 -56.076042 -56.076207 -67.801851
## [217] -47.185330 77.626583 -49.841630 75.834330 -69.645075 -69.644918
## [223] -69.645008 -42.058607 -65.425447 82.242780 -61.676200 -66.036770
## [229] -67.214372 2.387430 79.238778 -38.336003 -65.948233 100.015433
## [235] 73.689362 103.788960 -81.184278 109.243475 88.343200 95.161000
## [241] -74.773000 -74.846667 100.046192 -61.770552 -16.687185 -46.336642
## [247] -44.315000 -89.287299 80.485874 -61.079328 -16.889277 -39.084768
## [253] 79.848305 -47.992521 -43.016682 -76.632008 81.444669 79.824075
## [259] -16.905198 -61.525244 100.499552 -46.855204 -61.745957 -47.962788
## [265] -54.961193 -46.336670 -61.718050 -51.373193 -47.474020 -49.313520
## [271] -61.444786 -61.065801 -46.509166 -44.654857 -46.567869 -46.379973
## [277] -43.660984 123.135124 -88.138787 -34.953908 -61.525098 -47.349115
## [283] -105.226746 -48.867270 -43.559413 -88.138656 -88.138657 -88.138691
## [289] -50.965099 -40.687680 -90.482462 -82.479214 -75.561901 79.903887
## [295] -89.185934 -52.273861 -60.661267 -43.732709 -47.255025 -61.770492
## [301] -51.351218 -61.779657 -83.691486 -38.434093 -47.800753 -64.681603
## [307] -61.623571 73.488086 -39.093900 39.730517 -42.844127 -70.817323
## [313] -47.896262 100.306095 -47.356389 -61.797081 85.905762 85.906302
## [319] -47.850708 -60.927227 -38.525353 -49.460944 -88.015753 -46.482431
## [325] -47.348032 -44.534246 -89.252188 -89.367535 73.960632 -47.884052
## [331] -47.536713 -48.996911 92.710396 -38.456515 -61.269748 11.524353
## [337] -47.038440 -43.301389 -41.988846 -47.432224 -50.708960 -39.171639
## [343] -39.171687 -75.566526 -58.310214 -50.898364 -47.842715 32.328809
## [349] -34.825359 -47.835648 -43.370967 -48.354384 6.641345 -76.197213
## [355] -79.398737 -89.675016 -48.364722 -105.238744 83.184025 -43.495681
## [361] -45.840894 -47.443767 -65.399405 -47.871411 -89.210884 -46.382929
## [367] -64.681367 -40.827298 -17.377803 -43.367318 -54.952443 74.331101
## [373] -1.115959 -38.150302 77.698046 -41.571483 -47.272624 79.796691
## [379] -44.848437 -35.042257 119.890659 -48.084229 -59.218860 -48.085228
## [385] -49.097657 -73.828947 1.789792 -42.458275 -61.077579 -49.135637
## [391] 75.382482 -54.258872 2.664797 -76.631919 -54.459223 73.695129
## [397] -47.188779 -42.384634 -63.146672 -56.074486 -85.701242 -46.111137
## [403] 115.498833 -36.019717 -36.019722 -48.113674 100.007424 84.875046
## [409] -39.196116 -149.594986 -50.440605 -76.222998 107.894363 -54.621029
## [415] -75.192459 -37.458700 -90.303787 2.132474 -61.802186 -66.227862
## [421] -44.678862 -52.275772 -37.767390 -54.956082 119.792466 -47.791977
## [427] -50.373313 -50.383704 -38.571514 -49.183337 101.694244 -63.936993
## [433] -79.893291 -47.381157 -44.527547 -61.070660 -49.474997 73.613328
## [439] -48.290089 -38.615426 -61.402539 -48.151152 48.186243 79.245425
## [445] -60.682438 -56.706378 -44.802389 55.425720 55.425620 -74.836050
## [451] -48.232952 73.300828 80.458740 -38.886676 -56.107546 -61.266223
## [457] -43.661272 -47.938483 2.615014 -61.587538 -16.731388 73.622954
## [463] 73.617744 -44.113955 -16.735347 74.805786 -1.569456 -37.103958
## [469] -47.948647 -56.086364 -89.390331 -34.946950 -0.361448 -43.780053
## [475] -43.468600 -43.536217 -38.381329 -48.947473 77.530068 -40.375069
## [481] -38.389648
##
## $issues
## [1] "cdc,cdround" "cdc" "cdc,gass84,inmano"
## [4] "" "cdc,cdround,cudc" "cdc,cudc"
## [7] "cdround" "cdc,cudc,gass84" "gass84,inmano"
## [10] "gass84,colmafu,inmafu" "cdc,gass84"
##
## $basisOfRecord
## [1] "HUMAN_OBSERVATION" "PRESERVED_SPECIMEN"
##
## $occurrenceStatus
## [1] "PRESENT"
##
## $rightsHolder
## [1] "Whitney Ramsey"
## [2] "Elavarasan M"
## [3] "Chris"
## [4] "wineberrytown"
## [5] "Steve Maldonado Silvestrini"
## [6] "zicky"
## [7] "kaileyslater"
## [8] "winterling"
## [9] "Yamilette Herrera Estévez"
## [10] "Asher Gorbet"
## [11] "geralg"
## [12] "Haneesh K M"
## [13] "Fabiany Alessia Figueroa Guerra"
## [14] "mcknz"
## [15] "heatherchar"
## [16] "Pravin Kawale"
## [17] "virenvaz"
## [18] "UEC - Herbário da Universidade Estadual de Campinas"
## [19] NA
## [20] "erisy"
## [21] "psyyclops"
## [22] "Don Marsille"
## [23] "Leonardo Oliveira"
## [24] "sreenivasan"
## [25] "Prajwal J Ullal"
## [26] "Dr. Preeti V. Phate"
## [27] "HAMADOU SOUMANA Oumarou"
## [28] "Autumn"
## [29] "John Jaime Acevedo Roldán"
## [30] "edj_rivas"
## [31] "La Rata Mutante"
## [32] "Keerthi Vijay"
## [33] "turtlepada"
## [34] "Abhishek Jamalabad"
## [35] "Kristof Zyskowski"
## [36] "Samadori S. Honore Biaou"
## [37] "Matías Zarucki"
## [38] "elrivera"
## [39] "shaanaroeste"
## [40] "Gayatri Pawar"
## [41] "James Bailey"
## [42] "Phan Vũ Phúc Lân"
## [43] "sabrinacabereracim2020"
## [44] "zeres Cubilla"
## [45] "Anderson Mesa C"
## [46] "Hiran Amarasekera"
## [47] "erinbloomtenn"
## [48] "Alex Ennis"
## [49] "barbarapaisx"
## [50] "coraimamv"
## [51] "carlotaguevara"
## [52] "saraerdei"
## [53] "HUTO - Herbário da Universidade de Tocantins"
## [54] "bonbonbig"
## [55] "rafaela0508"
## [56] "auderabaud"
## [57] "HUESB - Herbário da Universidade Estadual do Sudoeste da Bahia"
## [58] "UESC - Herbário Universidade Estadual de Santa Cruz"
## [59] "Franco Colnago"
## [60] "Luciano Bernardes"
## [61] "David Martin"
## [62] "SLUI - Herbário Rosa Mochel"
##
## $datasetName
## [1] "iNaturalist research-grade observations"
## [2] "UEC - Herbário da Universidade Estadual de Campinas"
## [3] "Estudio de Impacto Ambiental, Área de perforación exploratoria LLANOS 124"
## [4] NA
## [5] "HUTO - Herbário da Universidade de Tocantins"
## [6] "HUESB - Herbário da Universidade Estadual do Sudoeste da Bahia"
## [7] "UESC - Herbário Universidade Estadual de Santa Cruz"
## [8] "SLUI - Herbário Rosa Mochel"
##
## $recordedBy
## [1] "Whitney Ramsey"
## [2] "Elavarasan M"
## [3] "Chris"
## [4] "wineberrytown"
## [5] "Steve Maldonado Silvestrini"
## [6] "zicky"
## [7] "kaileyslater"
## [8] "winterling"
## [9] "Yamilette Herrera Estévez"
## [10] "Asher Gorbet"
## [11] "geralg"
## [12] "Haneesh K M"
## [13] "Fabiany Alessia Figueroa Guerra"
## [14] "mcknz"
## [15] "heatherchar"
## [16] "Pravin Kawale"
## [17] "virenvaz"
## [18] "Ferronato, P"
## [19] NA
## [20] "erisy"
## [21] "psyyclops"
## [22] "Don Marsille"
## [23] "Leonardo Oliveira"
## [24] "sreenivasan"
## [25] "Prajwal J Ullal"
## [26] "Dr. Preeti V. Phate"
## [27] "HAMADOU SOUMANA Oumarou"
## [28] "Autumn"
## [29] "John Jaime Acevedo Roldán"
## [30] "edj_rivas"
## [31] "La Rata Mutante"
## [32] "Keerthi Vijay"
## [33] "turtlepada"
## [34] "Abhishek Jamalabad"
## [35] "Kristof Zyskowski"
## [36] "Samadori S. Honore Biaou"
## [37] "Matías Zarucki"
## [38] "elrivera"
## [39] "shaanaroeste"
## [40] "Gayatri Pawar"
## [41] "James Bailey"
## [42] "Phan Vũ Phúc Lân"
## [43] "Thomas Vattakaven"
## [44] "Susanta Tanti"
## [45] "Carlos Altamar|Maria Malagón"
## [46] "Altamar Carlos|Malagón María"
## [47] "sabrinacabereracim2020"
## [48] "zeres Cubilla"
## [49] "Anderson Mesa C"
## [50] "Hiran Amarasekera"
## [51] "erinbloomtenn"
## [52] "Alex Ennis"
## [53] "barbarapaisx"
## [54] "coraimamv"
## [55] "carlotaguevara"
## [56] "saraerdei"
## [57] "Marlon, B."
## [58] "bonbonbig"
## [59] "rafaela0508"
## [60] "auderabaud"
## [61] "E.O. Dantas; K.L. Céo Guimarães; K.L. Céo Guimarães"
## [62] "E.O. Dantas"
## [63] "Franco Colnago"
## [64] "Luciano Bernardes"
## [65] "David Martin"
## [66] "Barbosa, L.S.V."
## [67] "Senterre, Bruno|Morel, Sophie"
## [68] "Malagón María|Altamar Carlos"
##
## $locality
## [1] NA
## [2] "Serra Azul. Assentamento Sepé Tiaraju: Lote Arlindo. Lat 21°14#?#29#?##?#S Long 47°32#?#54#?##?#W"
## [3] "Cabuyarito / La Embajada"
## [4] "Mercados de Barranquilla, en cercanias a la plaza de San Nicolás"
## [5] "Mercados de Barranquilla, en cercanias a la plaza de San Nicolás."
## [6] "Centro de Ciências Agrárias - CCA."
## [7] "Sitio Nery, Rua A da Independência, descida da fonte. Área aberta, gramada. Coletas a 20m da estrada."
## [8] "Comunidade Bonfim"
## [9] "Port Glaud"
## [10] "Parque Villa Santos, carrera 49D esquina calle 101, corredor verde."
##
## $habitat
## [1] NA
## [2] "Pastos limpios"
## [3] "Áreas Urbanas"
## [4] "Degraded inselberg area near the road"
## [5] "Áreas verdes urbanas"
##
## $stateProvince
## [1] "Belize" "Tamil Nadu"
## [3] "La Libertad" "Soufrière"
## [5] "Dorado" "North"
## [7] "Cayo" "Goa"
## [9] "Santiago" "Rivas"
## [11] "Karnataka" "Cortés"
## [13] "Vieques" "Baie Lazare"
## [15] "Maharashtra" "São Paulo"
## [17] "Meta" NA
## [19] "Trang" "Oaxaca"
## [21] "Santa Rosa" "Rio Grande do Norte"
## [23] "Kerala" "Atakora"
## [25] "Upper Takutu-Upper Essequibo" "Antioquia"
## [27] "Los Santos" "Coclé"
## [29] "Andaman and Nicobar" "Borgou"
## [31] "Bahia" "San Lorenzo"
## [33] "Surat Thani" "Matanzas"
## [35] "Khánh Hòa" "Atlántico"
## [37] "Guatemala" "Bocas del Toro"
## [39] "Colombo" "Cayenne"
## [41] "São Tomé" "Panamá"
## [43] "Santa Ana" "Tocantins"
## [45] "Guanacaste" "Bali"
## [47] "Antsiranana" "Amazonas"
## [49] "Mato Grosso" "Maranhão"
CoordinateCleaner e bcd.# checar coordenadas válidas
check_pf <-
bdc::bdc_coordinates_outOfRange(
data = ana_gbif1,
lat = "decimalLatitude",
lon = "decimalLongitude")
# checar coordenadas válidas e próximas a capitais (muitas vezes as coordenadas são erroneamente associadas a capitais dos países)
cl <- ana_gbif1 %>%
select(acceptedScientificName, decimalLatitude, decimalLongitude) %>%
rename(decimallongitude = decimalLongitude,
decimallatitude = decimalLatitude,
scientificName = acceptedScientificName) %>%
as_tibble() %>%
mutate(val = cc_val(., value = "flagged"),
sea = TRUE,
capital = cc_cap(., value = "flagged"))
## [1] "iNaturalist research-grade observations"
## [2] "UEC - Herbário da Universidade Estadual de Campinas"
## [3] "Estudio de Impacto Ambiental, Área de perforación exploratoria LLANOS 124"
## [4] NA
## [5] "HUTO - Herbário da Universidade de Tocantins"
## [6] "HUESB - Herbário da Universidade Estadual do Sudoeste da Bahia"
## [7] "UESC - Herbário Universidade Estadual de Santa Cruz"
## [8] "SLUI - Herbário Rosa Mochel"
## # A tibble: 0 × 1
## # … with 1 variable: datasetName <chr>
Plotly, que permite a criação de gráficos interativos
simples.## `summarise()` has grouped output by 'lat'. You can override using the `.groups`
## argument.
## `geom_smooth()` using method = 'loess' and formula 'y ~ x'
## `summarise()` has grouped output by 'lat'. You can override using the `.groups`
## argument.
## `geom_smooth()` using method = 'loess' and formula 'y ~ x'
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